Vyasa sits above your application stack and runs your Order-to-Cash and Procure-to-Pay end-to-end, amplifying your best operators and cutting ops cost by up to 70%.
Reason · Orchestrate · Act
Built by ex-Oracle · SAP · NetSuite · Accenture · UCSD AI Research team
Powering the future of operations
Every decision makes Vyasa sharper for your business. The longer you run it, the harder it is to go back.
Critical context lives trapped in application chats, email threads, and the heads of individual operators, invisible to every other system. Vyasa builds a living context graph across your entire ecosystem so every ERP, every workflow, and every operator shares the same picture.
Learn more →ERPs, data lakes, emails, Slack, WhatsApp. Vyasa's agents reach into every system but never store your data. Your information stays exactly where it lives today, fully under your control.
Ask why an order was held. Tell it to re-route a shipment. Natural language conversations turn into auditable actions, powered by a knowledge graph built from every decision your operators make, so that expertise never walks out the door.
Exceptions, bottlenecks, and margin leaks surfaced the moment they appear, not in a weekly report. Vyasa continuously monitors cash-flow patterns, supplier delays, and process anomalies across every connected system, alerting operators while there is still time to act.
Learn more →Align orders, POs, payment terms, and billing requirements before invoicing — with blockers surfaced before invoice submission.
4 of 4 checks passed · invoice cleared to submit
Reads orders in from any source application: emails, Slack, WhatsApp, EDI, portals. Runs policy checks, credit, inventory, and pricing in parallel. Routes only real exceptions to humans, with the full reasoning trace attached.
Stops you from buying what you already own. Reconciles invoices that don't match. Provisions seats same-day. Earmarks budget the moment a request lands.
More workflows on the roadmap: HR comp, returns, vendor onboarding
Integrations
Bidirectional ERP sync — read master data; write POs, invoices, and approvals when policy allows.
Automation executes rules. Vyasa exercises judgment. Your operators stop being the execution layer. They become the judgment layer.
| Dimension | Traditional flow | Vyasa |
|---|---|---|
| Execution | People as the workflow glue | Agents run parallel checks; people handle judgment |
| Context | Trapped in inboxes and spreadsheets | Living knowledge graph across ERP, email, chat |
| Approvals | Email chains, lost rationale | Full reasoning trace + precedents + simulation |
| Memory | Walks out when operators leave | Institutional memory that grows with every decision |
| Coverage | Business hours, queue backlog | Continuous monitoring with exception surfacing |
| Onboarding | Months of KT and SOP docs | Weeks to first lane; no systems replaced |
| Audit | Reconstruct after the fact | Every decision logged with policies and evidence |
| Data | Copy data to vendor cloud | Zero data storage — acts across your stack |
People as the workflow glue
Agents run parallel checks; people handle judgment
Trapped in inboxes and spreadsheets
Living knowledge graph across ERP, email, chat
Email chains, lost rationale
Full reasoning trace + precedents + simulation
Walks out when operators leave
Institutional memory that grows with every decision
Business hours, queue backlog
Continuous monitoring with exception surfacing
Months of KT and SOP docs
Weeks to first lane; no systems replaced
Reconstruct after the fact
Every decision logged with policies and evidence
Copy data to vendor cloud
Zero data storage — acts across your stack
30 minutes. No pitch. No commitment. We'll model your specific situation.